Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cyijun/china-financial-services --skill a-share-earnings-deltagit clone --depth 1 https://github.com/cyijun/china-financial-servicesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cyijun/china-financial-services/a-share-earnings-delta)<a href="https://agentmods.dev/skills/cyijun/china-financial-services/a-share-earnings-delta"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-earnings-delta/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cyijun/china-financial-services/a-share-earnings-delta"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-earnings-delta.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00078 | $0.00656 |
| Opus 5 | $0.00039 | $0.00328 |
| Sonnet 5 | $0.00016 | $0.00131 |
| Haiku 4.5 | $0.00008 | $0.00066 |
Grade A, and why
a-share-earnings-delta scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
A股财报预期差
模式
preview：财报前冻结已知信息、预期和观察指标。review：财报后比较实际、事前预期、公司先前指引和自有旧模型。
工作流
- 记录事件、报告期、预告/快报/正式报告版本及实际披露时刻。
- 调用
a-share-research-evidence冻结事前快照；每个预期带来源和早于事件的时间。 - 使用
china-market-data获取forecast、express、三表和指标。disclosure_schedule只用于日历，不冒充实际发布时间。 - 建立实际、自有旧预测、事前共识、先前指引、差额和口径表；归母、扣非、EPS和调整后指标不得混用。
- 把差额拆到销量/客户、价格/结构、汇率、原料、费用、减值、补贴、税率和股本变化，区分持续、暂时、会计口径和未知。
- 若存在业绩说明会、电话会、交易所互动问答或管理层书面回应，建立“管理层陈述—提问—回答—对应财务事实”表。逐项核对管理层叙事与销量、价格、毛利、现金流、订单和指引的实际变化；区分已回答、回避、不可验证与后来被数据反驳。
- 更新预测时展示旧值、新值、原因、证据和不确定性；估值变化由估值Skill独立计算。
- 更新论点支柱、反证和下一个可观察事件。
硬约束
- 不使用财报发布后的共识衡量本次beat/miss。
- 无事前共识时只能写相对公司指引或自有旧模型的变化。
- 预告、快报和正式报告是不同证据等级。
- 管理层口头叙事和互动问答不是法定财务事实；引用时保留问题上下文、时间戳/段落与说话人。
- 不把即时股价反应当作财报质量，不自动给评级或交易动作。
输出契约
输出事件元数据、预期快照、差额表、驱动桥、质量检查、预测修订、论点影响、反证和待跟踪项。
需要标准表格时读取references/earnings-schema.md。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 37 lines · 78 tokens per session scan A e3da28d16a14
a-share-earnings-delta is a skill published in the GitHub repository cyijun/china-financial-services (19 stars, last pushed 19d ago), licensed Apache-2.0. It adds 78 tokens to every session and 656 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
hithink-finance
A routing guide for accessing Chinese A-share financial data, including prices, company reports, valuations, funds, indices, sectors, and local data storage.
hithink-finance-fund
A command-line guide for querying fund information, including profiles, managers, holdings, prices, returns, financial data, news, and exchange-traded fund snapshots. A command-line tool is a program controlled by typed terminal commands.
hithink-finance-data
A local data-management skill for the HiThink Finance command-line tool and its DuckDB database. DuckDB is a database stored in a local file.
hithink-finance-market
A command-line tool entry for retrieving ordinary Chinese A-share market data, including snapshots, historical price bars, trading calendars, adjustment factors, and company actions.
hithink-finance-special-data
A command-line tool entry for retrieving special Chinese market lists and event data, such as limit-up stocks, limit-down stocks, unusual moves, hot stocks, and Dragon-Tiger records.
hithink-finance-futures
A command-line data source for public futures-market information, including contracts, positions, warehouse receipts, basis, trading schedules, and price charts. Futures are agreements to buy or sell an asset at a set future date.